Quick Answer
The correct answer is object-level security (OLS), which allows you to hide columns in Power BI dataset object level security by restricting access to specific tables or columns for designated roles. Unlike row-level security (RLS), which filters which rows a user can see, OLS controls visibility at the column level—perfect for hiding sensitive salary data from non-HR managers. On the PL-300 exam, this question tests your ability to distinguish between OLS and RLS, a common trap where candidates confuse row filtering with column hiding. Remember, RLS filters rows, OLS hides columns. A simple memory tip: think "OLS = Omit the Columns, RLS = Restrict the Rows."
This PL-300 practice question tests your understanding of manage and secure power bi. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A data analyst creates a Power BI report using a dataset that contains sensitive salary information. The analyst needs to ensure that only HR managers can see salary columns. What should the analyst use?
Row-level security (RLS).
Why wrong: RLS filters rows, not columns.
Microsoft Purview sensitivity labels.
Why wrong: Labels classify but do not restrict access to columns.
Object-level security (OLS).
OLS hides entire columns from roles.
Set the dataset security to 'Restrict access'.
Why wrong: Dataset security does not provide column-level control.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Object-level security (OLS).
Option B is correct because object-level security (OLS) hides columns from specific roles. Option A is wrong because RLS filters rows, not columns. Option C is wrong because sensitivity labels are for classification, not access control. Option D is wrong because the dataset's security settings do not support column-level security natively.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Row-level security (RLS).
Why it's wrong here
RLS filters rows, not columns.
Microsoft Purview sensitivity labels.
Why it's wrong here
Labels classify but do not restrict access to columns.
Object-level security (OLS).
Why this is correct
OLS hides entire columns from roles.
Related concept
Static NAT maps one inside address to one outside address.
Set the dataset security to 'Restrict access'.
Why it's wrong here
Dataset security does not provide column-level control.
Common exam traps
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related PL-300 NAT questions on configuration and troubleshooting.
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FAQ
Manage and secure Power BI — This question tests Manage and secure Power BI — Static NAT maps one inside address to one outside address..
The correct answer is: Object-level security (OLS). — Option B is correct because object-level security (OLS) hides columns from specific roles. Option A is wrong because RLS filters rows, not columns. Option C is wrong because sensitivity labels are for classification, not access control. Option D is wrong because the dataset's security settings do not support column-level security natively.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related PL-300 NAT questions on configuration and troubleshooting.
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 21, 2026
This PL-300 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PL-300 exam.
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